live_quote

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description fully discloses behavioral traits: requires Angel One API credentials stored locally, real-time zero-delay data, graceful fallback, and the full set of returned fields (OHLC, volume, circuit limits, etc.). No contradictions.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is detailed but well-structured with a summary line, bullet points for features, setup steps, and examples. It is slightly verbose but every section adds value; no redundant fluff.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The description covers purpose, required credentials, fallback behavior, data fields, and examples. While no formal output schema is referenced, the list of provided fields suffices. It lacks explicit mention of pagination or rate limits, but for a single-parameter quote tool, it is largely complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The only parameter, 'symbol', is described as 'NSE symbol (e.g., RELIANCE, TCS, NIFTY, BANKNIFTY)', providing concrete examples and implying support for both stocks and indices. This adds meaning beyond the schema's type and title, though the schema has 0% coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states it provides real-time NSE quotes via Angel One SmartAPI, explicitly listing the data fields (LTP, OHLC, volume, etc.). It distinguishes itself from sibling tools like bse_quote, nse_quote, and fyers_live_quote by specifying the broker and real-time nature.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides setup instructions and notes that it falls back gracefully with guidance. It compares pricing with Zerodha. However, it does not explicitly advise when to use this over other quote tools in the sibling list (e.g., bse_quote, fyers_live_quote), leaving the agent to infer based on broker preference.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.